265 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Harvard University
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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references’ names and contact information. Applications will be reviewed on a rolling basis until the position is filled For more information, please visit our website – https
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development. More information about the lab and specific research areas can be found at https://sites.harvard.edu/zheng/. We welcome applications from recent chemistry or chemical biology PhD graduates with
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, restriction digest, Gibson Assembly, Goldengate Assembly, transformation, etc.). Basic data analysis/programming. Exposure to drug screening or chemical biology approaches is highly desirable. Experience with
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Our Resources The HIDIVE Lab participates in large-scale collaborative projects such as NIH Human Biomolecular Atlas Program (HuBMAP) NIH Cellular Senescence Network (SenNet) NIH Kidney Precision
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our website – https://www.mason.chemistry.harvard.edu/ – or contact the department directly. Please note: This position is contingent upon funding and satisfactory performance. Contact Information
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the possibility of extension. For more details on our research and recent publications, see the Geometric Machine Learning Group’s website: https://weber.seas.harvard.edu For questions, please email mweber
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is the oldest institution of higher education in the United States. Connections working at Harvard University More Jobs from This Employer https://main.hercjobs.org/jobs/22421178/pre-doctoral-research
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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu
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membranes. Please see https://blacklow.hms.harvard.edu/ for additional information on areas of research. We welcome applications from recent PhD graduates who are interested in these or related fields